Selves distribution optimization in intrusion detection system based on immunity

In the intrusion detection system based on immunity, the self set is very important to the detector set. But it has some defects, especially, in the real-valued shape space which can cause some problems in detector set, such as the boundary holes of detector set, the high cost of generating detectors, etc. To solve these problems, a selves distribution optimization algorithm is proposed, which uses fuzzy clustering algorithm and Gaussian distribution theory. Experimental results show that, the algorithm can solve the problems of self set effectively, increase the efficiency of detector generation effectively.